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Abstract #1154

Postprocessing Reduces Pulsation Artifacts and Increases Visibility of Liver Lesions in Flow-compensated Diffusion-weighted Imaging

Tobit Führes1, Marc Saake 1, Hannes Seuss1,2, Astrid Müller1, Sebastian Bickelhaupt1, Alto Stemmer3, Thomas Benkert3, Michael Uder1, Bernhard Hensel4, and Frederik Bernd Laun1
1University Hospital Erlangen, Erlangen, Germany, 2Klinikum Forchheim, Forchheim, Germany, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany


Diffusion-weighted imaging of the liver is prone to the cardiac pulsation artifact, which can lead to reduced lesion visibility. We addressed this problem with a two-fold approach. First, flow-compensated diffusion weightings were used, which are known to reduce this artifact. Using a dataset of 40 patients suffering from focal liver lesions, we addressed the remaining signal voids with different postprocessing techniques, namely weighted averaging, the p-mean approach, and an outlier exclusion algorithm. The algorithms substantially increased the lesion visibility and further reduced the pulsation artifact. An evaluation of CNR and calculation time showed that weighted averaging was suited best.

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